Electrical & Electronics Engineering (English)
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

General course introduction information

Course Code:

EEE104

Course Name:

Logic Circuit Design

Course Semester:

Fall

Course Credits:

Theoretical	Practical	Credit	ECTS
2	2	3	8

Language of instruction:

Course Requisites:

Does the Course Require Work Experience?:

Type of course:

Compulsory

Course Level:

Bachelor

TR-NQF-HE:6. Master`s Degree

QF-EHEA:First Cycle

EQF-LLL:6. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator :

Dr.Öğr.Üyesi SİNA ALP

Course Lecturer(s):

Dr.Öğr.Üyesi SİNA ALP

Course Assistants:

Course Objective and Content

Course Objectives:	The purpose of this course is to teach understanding, analysis and synthesis of logic circuits.
Course Content:	Digital Systems, Boolean Algebra, Combinational Logic Circuits, Karnaugh Map, Quine-McCluskey Method, Sequential Logic Circuits, Finite State Machine

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
1) Understanding of binary number system and basic number coding approaches
2) Ability to use Boolean algebra and to analyze logic functions
3) Ability to simplify logic functions and draw circuit diagrams
4) Ability to analyze and synthesize sequential circuits and finite state machines
5) Analyze the timing of digital circuits and correct timing errors
2 - Skills
Cognitive - Practical
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
Competence to Work Independently and Take Responsibility

Lesson Plan

Week	Subject	Related Preparation
1)	Digital Systems, Binary Numbers, Number-Base Conversion
2)	Boolean Algebra, Basic Operations, Boolean Expressions and Truth Table, Basic Theorems
3)	Combinational Logic Circuit Design Using a Truth Table, Minterm and Maxterm Expansions, Incompletely Specified Functions
4)	Karnaugh Map
5)	Quine-McCluskey Method, NAND and NOR implementations, XOR and XNOR implementations
6)	Multi-Level Gate Circuits, Multiple-Output Circuits, Gate Delays and Timing Diagrams, Hazards in Combinational Logic
7)	Example Logic Circuits
8)	Midterm Test
9)	Multiplexer, Three-State Buffer, Decoder, Encoder, Binary Adder and Subtractor
10)	Sequential Logic Circuits, Latches, Flip-Flops
11)	Registers, Shift Registers, Binary Counters, Counters using SR and JK Flip-Flops
12)	Finite State Machine, State Assignment
13)	Finite State Machine, State Assignment
14)	Example Logic Circuits

Sources

Course Notes / Textbooks:	Fundamentals of Logic Design, Charles H. Roth, Larry L Kinney, ISBN: 978-1-133-62847-7 Digital Design (4th Edition), M. Morris Mano, Michael D. Ciletti , ISBN: 978-0 131-98924-5
References:	Fundamentals of Logic Design, Charles H. Roth, Larry L Kinney, ISBN: 978-1-133-62847-7 Digital Design (4th Edition), M. Morris Mano, Michael D. Ciletti , ISBN: 978-0 131-98924-5

Course-Program Learning Outcome Relationship

Learning Outcomes	1	2	3	4	5
Program Outcomes
1) Sufficient knowledge in mathematics, science and engineering related to their branches; and the ability to apply theoretical and practical knowledge in these areas to model and solve engineering problems.
2) The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose.
3) The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. (Realistic constraints and conditions include such issues as economy, environmental issues, sustainability, manufacturability, ethics, health, safety, social and political issues, according to the nature of design.)
4) Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively.
5) Ability to design experiments, conduct experiments, collect data, analyze and interpret results to examine engineering problems or discipline-specific research topics.
6) The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill.
7) Effective communication skills in Turkish oral and written communication; at least one foreign language knowledge; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8) Awareness of the need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal.
9) Conform to ethical principles, and standards of professional and ethical responsibility; be informed about the standards used in engineering applications.
10) Awareness of applications in business, such as project management, risk management and change management; awareness of entrepreneurship, and innovation; information about sustainable development.
11) Information about the universal and social health, environmental and safety effects of engineering applications and the ways in which contemporary problems are reflected in the engineering field; awareness of the legal consequences of engineering solutions.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	Sufficient knowledge in mathematics, science and engineering related to their branches; and the ability to apply theoretical and practical knowledge in these areas to model and solve engineering problems.	3
2)	The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose.	1
3)	The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. (Realistic constraints and conditions include such issues as economy, environmental issues, sustainability, manufacturability, ethics, health, safety, social and political issues, according to the nature of design.)	1
4)	Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively.	1
5)	Ability to design experiments, conduct experiments, collect data, analyze and interpret results to examine engineering problems or discipline-specific research topics.	1
6)	The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill.	1
7)	Effective communication skills in Turkish oral and written communication; at least one foreign language knowledge; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.	1
8)	Awareness of the need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal.
9)	Conform to ethical principles, and standards of professional and ethical responsibility; be informed about the standards used in engineering applications.
10)	Awareness of applications in business, such as project management, risk management and change management; awareness of entrepreneurship, and innovation; information about sustainable development.
11)	Information about the universal and social health, environmental and safety effects of engineering applications and the ways in which contemporary problems are reflected in the engineering field; awareness of the legal consequences of engineering solutions.

Learning Activity and Teaching Methods

Individual study and homework
Lesson
Lab
Homework

Assessment & Grading Methods and Criteria

Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing)
Homework

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Laboratory	4	% 20
Homework Assignments	11	% 10
Midterms	1	% 30
Final	1	% 40
total		% 100
PERCENTAGE OF SEMESTER WORK		% 60
PERCENTAGE OF FINAL WORK		% 40
total		% 100

Workload and ECTS Credit Grading

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	3	42
Project	1	24	24
Homework Assignments	2	16	32
Midterms	1	16	16
Final	1	24	24
Total Workload			138